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This project implements an agent for playing the VizDoom game on various levels using the Proximal Policy Optimization (PPO) algorithm from the stablebaselines3 library. The agent is trained to learn the optimal actions to take at each step in the game in order to complete the level and maximize the score.
vizDoom AI is a study project realized by me at the 3WA, to realize this model of artificial intelligence, I was greatly inspired by the videos of Nicholas Renotte (Youtubeur that I appreciate particularly). The goal of this script is to learn how to play all levels of Doom by himself and be the best he can be.